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A Guide to Machine Learning for Data Stewards

Leading-edge consumer technology companies, such as Google, Amazon, and Netflix, have demonstrated the impact that machine learning can have on the customer experience. These brands have become some of the most valuable in the world by delivering experiences that feel…

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How to Save $10M+ with Supplier Mastering

Over the past 5 years, Supplier Mastering has become one of the most common problems that we solve for our customers. Some people refer to this as the “Supplier 360” problem. Others just say, “we have poor visibility into our…

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Align your Data Strategy with Business Strategy

As Aristotle wisely stated, “The whole is greater than the sum of its parts.”  In business, to create that whole requires a catalyst that cohesively connects different teams around common goals.  Data has the power to be that catalyst, aligning…

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Do I Trust My Supplier Analytics?

Large enterprises spend tremendous amount of resources building data analytics and operationalizing large volumes of supplier and spend data. However, analytics and dashboards are only valuable if the data going in them is trustworthy.

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Who Are Our Suppliers and How Do We Interact with Them?

Companies seeking to streamline supplier management across their organization require trusted views of business-critical data for analytics and operations. However, after spending months of time and money on various implementation projects, organizations still struggle to get consistent, timely answers to the question: “Who are our suppliers, and how do we interact with them?”

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Making the Impossible Possible: the Tamr Journey

Michael Stonebraker’s work and contributions to the concepts and practices underlying modern database systems are truly remarkable. I’ve followed Mike’s accomplishments for decades, and have worked closely with him for the past six years—one of the highlights of my career.…

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